E9 205 Machine Learning for Signal Processing Linear Models for Regression and 23-09-2019 Classification
Linear Regression ❖ Solution to Maximum Likelihood problem is the least squares solution Pseudo Inverse Based Solution Bishop - PRML book (Chap 3)
Choice of Basis Functions
Regularized Least Squares ❖ Optimize a modified cost function Bishop - PRML book (Chap 3)
Regularized Least Squares Bishop - PRML book (Chap 3)
Choice of Regularization Parameter
Choice of Regularization Parameter
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